BACKGROUND: The congenital long-QT syndrome (LQTS) is caused by mutations on several genes, all of which encode cardiac ion channels. The progressive understanding of the electrophysiological consequences of these mutations opens unforeseen possibilities for genotype-phenotype correlation studies. Preliminary observations suggested that the conditions ("triggers") associated with cardiac events may in large part be gene specific. METHODS AND RESULTS: We identified 670 LQTS patients of known genotype (LQT1, n=371; LQT2, n=234; LQT3, n=65) who had symptoms (syncope, cardiac arrest, sudden death) and examined whether 3 specific triggers (exercise, emotion, and sleep/rest without arousal) differed according to genotype. LQT1 patients experienced the majority of their events (62%) during exercise, and only 3% occurred during rest/sleep. These percentages were almost reversed among LQT2 and LQT3 patients, who were less likely to have events during exercise (13%) and more likely to have events during rest/sleep (29% and 39%). Lethal and nonlethal events followed the same pattern. Corrected QT interval did not differ among LQT1, LQT2, and LQT3 patients (498, 497, and 506 ms, respectively). The percent of patients who were free of recurrence with ss-blocker therapy was higher and the death rate was lower among LQT1 patients (81% and 4%, respectively) than among LQT2 (59% and 4%, respectively) and LQT3 (50% and 17%, respectively) patients. CONCLUSIONS: Life-threatening arrhythmias in LQTS patients tend to occur under specific circumstances in a gene-specific manner. These data allow new insights into the mechanisms that relate the electrophysiological consequences of mutations on specific genes to clinical manifestations and offer the possibility of complementing traditional therapy with gene-specific approaches.
BACKGROUND: The congenital long-QT syndrome (LQTS) is caused by mutations on several genes, all of which encode cardiac ion channels. The progressive understanding of the electrophysiological consequences of these mutations opens unforeseen possibilities for genotype-phenotype correlation studies. Preliminary observations suggested that the conditions ("triggers") associated with cardiac events may in large part be gene specific. METHODS AND RESULTS: We identified 670 LQTS patients of known genotype (LQT1, n=371; LQT2, n=234; LQT3, n=65) who had symptoms (syncope, cardiac arrest, sudden death) and examined whether 3 specific triggers (exercise, emotion, and sleep/rest without arousal) differed according to genotype. LQT1patients experienced the majority of their events (62%) during exercise, and only 3% occurred during rest/sleep. These percentages were almost reversed among LQT2 and LQT3patients, who were less likely to have events during exercise (13%) and more likely to have events during rest/sleep (29% and 39%). Lethal and nonlethal events followed the same pattern. Corrected QT interval did not differ among LQT1, LQT2, and LQT3patients (498, 497, and 506 ms, respectively). The percent of patients who were free of recurrence with ss-blocker therapy was higher and the death rate was lower among LQT1patients (81% and 4%, respectively) than among LQT2 (59% and 4%, respectively) and LQT3 (50% and 17%, respectively) patients. CONCLUSIONS: Life-threatening arrhythmias in LQTS patients tend to occur under specific circumstances in a gene-specific manner. These data allow new insights into the mechanisms that relate the electrophysiological consequences of mutations on specific genes to clinical manifestations and offer the possibility of complementing traditional therapy with gene-specific approaches.
Authors: Jesaia Benhorin; Arthur J Moss; Matthew Bak; Wojciech Zareba; Elizabeth S Kaufman; Batsheva Kerem; Jeffrey A Towbin; Silvia Priori; Robert S Kass; Bernard Attali; Arthur M Brown; Eckhard Ficker Journal: Ann Noninvasive Electrocardiol Date: 2002-01 Impact factor: 1.468
Authors: Martin Tristani-Firouzi; Judy L Jensen; Matthew R Donaldson; Valeria Sansone; Giovanni Meola; Angelika Hahn; Said Bendahhou; Hubert Kwiecinski; Anna Fidzianska; Nikki Plaster; Ying-Hui Fu; Louis J Ptacek; Rabi Tawil Journal: J Clin Invest Date: 2002-08 Impact factor: 14.808
Authors: Christina Y Miyake; S Yukiko Asaki; Gregory Webster; Richard J Czosek; Joseph Atallah; Kishor Avasarala; Sri O Rao; Patricia E Thomas; Jeffrey J Kim; Santiago O Valdes; Caridad de la Uz; Yunfei Wang; Xander H T Wehrens; Dominic Abrams Journal: JACC Clin Electrophysiol Date: 2017-08-30
Authors: Junko Kurokawa; John R Bankston; Asami Kaihara; Lei Chen; Tetsushi Furukawa; Robert S Kass Journal: Channels (Austin) Date: 2009-01-07 Impact factor: 2.581
Authors: Anant Khositseth; Jan Nemec; Joseph Hejlik; Win K Shen; Michael J Ackerman Journal: Ann Noninvasive Electrocardiol Date: 2003-07 Impact factor: 1.468